Malak Abdullah is a PhD student at Complex Systems lab of University of North Carolina at Charlotte, USA. Her supervisor is Prof. Mirsad Hadzikadic. She received her BS and MS degrees in computer science with excellent GPAs from Jordan University of Science and Technology (JUST), Jordan. She worked as a full time instructor at JUST from 2007-2015. Her research interests lie in the area of programming languages, Data Mining, Machine Learning, Algorithms, and Artificial Intelligent. She is currently investigating the sentiment analysis of social media field. She is working on different projects of extracting people’s opinions from twitter data in English and Arabic languages.
Nazmiye Gizem Bacaksizlar is a Ph.D. student at the University of North Carolina at Charlotte, College of Computing and Informatics. Gizem received her bachelor's degree in Industrial Engineering from Yildiz Technical University, Istanbul and her master’s degree in Industrial Engineering from Bogazici University, Istanbul. Her research interests include modeling and analyzing socio-economic systems applying System Dynamics methodology. She is also interested in Complex Adaptive Systems as human interactions and rebellion actions. Currently, she is a graduate research assistant of Dr. Hadzikadic, working on the inequalities in the societies such as: income distribution, fairness, freedom and happiness.
To find out more information about Gizem, please refer to her LinkedIn profile: https://tr.linkedin.com/pub/n-gizem-bacaksızlar/43/33/696
Yasaman Kamyab is a Ph.D. student in the Department of Software and Information Systems at UNC Charlotte. She received her Master's degree in Computer Science from UNC Charlotte with Networking concentration. Her research interests include complex adaptive systems, computational finance, machine learning and data science. Currently, she is a graduate research assistant of Dr. Hadzikadic, working on an Agent Based Computational Economics model to examine the parameters describing agent’s behavioral rules in shaping herds in financial markets.
Riyi Qiu is a Ph.D. student in the Department of Software and Information Systems at UNC Charlotte. He received his bachelor’s in Applied Mathematics from Tianjin University, China and his master’s degree in Mathematical Finance from UNC Charlotte. His interest is applying data analytics and agent based modeling on financial markets and healthcare research.
Personal Website: http://rqiu50.wix.com/1233
Kara Mick Smythwood received a bachelor’s degree in Experimental Psychology at Johns Hopkins University and a master’s degree in Information Technology from UNC Charlotte College of Computing and Informatics. His research interests include visual analytics, human computer interaction, and computational modeling of visual perception. His current work uses eye-tracking technology to examine how icon characteristics such as visual complexity, aesthetic appeal, and emotional valence affect how users search for icons.
Narges Tabari is a Ph.D. student in the Department of Software and Information Systems at UNC Charlotte. She received her bachelor's degree in Computer Science from Amirkabir University of Technology in Tehran, Iran. She is also a Masters's student in Mathematical Finance at UNCC. Her research interests include applying data science methods in financial markets. Currently, she is working on interactions of financial markets and social media.
Personal Website: https://www.linkedin.com/pub/narges-tabari/a2/179/a91
Anadin Tokmic is a Ph.D. student in the Department of Software and Information Systems at UNC Charlotte. He received his bachelor's degree in Business Economics and International Business from Buena Vista University and his master’s degree in Economics from UNC Charlotte Belk College of Business. His research interests include modeling fraud behavior using a multi-model approach for fraud detection.
Personal Website: https://www.linkedin.com/pub/anadin-tokmic/12/814/aaa
Farah Tokmic is a Ph.D. student in the Department of Software and Information Systems at UNC Charlotte. She received her bachelor's degree in Molecular Environmental Biology from the University of California, Berkeley and her master’s degree in Graduate Medical Sciences from Boston University School of Medicine. Her research interests include designing and managing health care as a complex adaptive system and utilizing system dynamic methods to study the behavior of health systems. Currently, she is a graduate research assistant of Dr. Hadzikadic, working on the Stigma Index project that aims to quantify the impact of stigma towards the health quality of individuals suffering from behavioral health illnesses.
Personal Website: https://cci-hit.uncc.edu/people.html
Elizabeth von Briesen is a PhD student in the Department of Software & Information Systems at UNC Charlotte. She has a B.S. in Physics from the University of Virginia, and more than ten years of experience consulting and teaching in the IT industry. Her research involves computational modeling of genocide initially taking an agent-based approach, and subsequently evolving the model to implement a dynamic network. She also works as a teaching assistant in the College of Computing & Informatics.
Personal website: http://www.elizabethvb.com/
Marion Charles (Chuck) Lane is a graduate in Spring 2017. He received his bachelor’s degree in mathematics from the University of Tennessee, Knoxville, and his master’s degrees in Computer Science from the UTK and in Information Technology from UNC Charlotte. His interest is applying complex systems and agent based modeling to traffic management.
His dissertation project is entitled “Simulation of Traffic Grids Using Agent Based Modeling.”
Felesia is a graduate on Spring 2016 with her dissertation topic, “Communities of Purpose”. Her research explores the use of complexity theory and network science to enhance community organizations that address societal problems. Additionally, Felesia collaborates with the Virtual Identity, Community, and Entitativity (VICE) Research Group which investigates the role of entitativity in online groups.
Personal website: www.felesiastukes.com
Zheyuan Su is a graduate on Spring 2017 with his dissertation topic, "Application of Complex Adaptive Systems in Portfolio Management".
Abstract: Simulation-based methods are becoming a promising research tool in financial markets. A general Complex Adaptive System can be tailored to different application scenarios. Based on the current research, we built two models that would benefit portfolio management by utilizing Complex Adaptive Systems (CAS) in Agent-based Modeling (ABM) approach. Models include performing sector rotations in GICS classified sectors and releasing single stock (Bank of America) trading signals in the US stock market. The multi-agent models are implemented using the Netlogo framework. Both models utilize historical data and produce returns that exceed benchmark returns, which are Buy and Hold strategies on S&P 500 Index and Bank of America stock respectively.
Personal Website: https://www.linkedin.com/in/zheyuansu